arrow
Return

Contextual transformer for brain stroke segmentation in MRI

delete2025-11-06
delete0
PRE
AI
M
Muhammad Nouman
M
Mohamed A. Mabrok
M
Mohammad al-Shatouri
E
Essam A. Rashed *
DOI:10.1016/j.compeleceng.2025.110795delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
• Brain stroke segmentation suffers from several challenges due to the complexity of brain anatomy and lesion variability. • Focus In and Generalize Out (FIGO) framework is a novel brain stroke segmentation that efficiently blends global and local features. • Experimental studies using the ATLAS v2.0 dataset demonstrate a remarkable improvement in segmentation accuracy. • The proposed framework enables better observation of strokes with various shapes, sizes, and locations.

Journal

C
Computers and Electrical Engineering
IF:
4.9
Papers:
6.7K
Citations:
1.3W

Organization

S
Suez Canal University
Scholars:
2.7K
Papers: 2.1K
Citations: 4.2K
Q
Qatar University
Scholars:
8.9K
Papers: 9.0K
Citations: 16
U
university of hyogo
Scholars:
2.7K
Papers: 2.3K
Citations: 1
researcher View more organizations